Artificial neural network to predict the refractive index of a liquid infiltrating a chiral sculptured thin film

Refractive Index ◽

Sculptured Thin Film ◽

Artificial Neural ◽

Chiral Sculptured Thin Film

Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film

Journal of Nanophotonics ◽

10.1117/1.jnp.13.046006 ◽

2019 ◽

Vol 13 (04) ◽

pp. 1 ◽

Cited By ~ 1

Author(s):

Patrick D. McAtee ◽

Satish T. S. Bukkapatnam ◽

Akhlesh Lakhtakia

Keyword(s):

Neural Network ◽

Thin Film ◽

Refractive Index ◽

Sculptured Thin Film ◽

Artificial Neural ◽

Chiral Sculptured Thin Film

International Workshop on Thin Films for Electronics, Electro-Optics, Energy, and Sensors 2019 ◽

Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film in a sensor chip

10.1117/12.2530355 ◽

2019 ◽

Cited By ~ 1

Author(s):

Patrick D. McAtee ◽

Satish T. Bukkapatnam ◽

Akhlesh Lakhtaki

Keyword(s):

Neural Network ◽

Thin Film ◽

Refractive Index ◽

Sensor Chip ◽

Sculptured Thin Film ◽

Artificial Neural ◽

Chiral Sculptured Thin Film

Performance estimation of a thin-film photovoltaic plant based on an Artificial Neural Network model

2014 5th International Renewable Energy Congress (IREC) ◽

10.1109/irec.2014.6826954 ◽

2014 ◽

Cited By ~ 5

Author(s):

Giorgio Graditi ◽

Sergio Ferlito ◽

Giovanna Adinolfi ◽

Giuseppe Marco Tina ◽

Cristina Ventura

Keyword(s):

Neural Network ◽

Thin Film ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Performance Estimation ◽

Artificial Neural ◽

Photovoltaic Plant

Prediction of refractive index of binary solutions consisting of ionic liquids and alcohols (methanol or ethanol or 1-propanol) using artificial neural network

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2016.05.031 ◽

2016 ◽

Vol 65 ◽

pp. 83-90 ◽

Cited By ~ 6

Author(s):

Allan N. Soriano ◽

Karen Faith P. Ornedo-Ramos ◽

Carla Angela M. Muriel ◽

Adonis P. Adornado ◽

Vergel C. Bungay ◽

...

Keyword(s):

Neural Network ◽

Refractive Index ◽

Ionic Liquids ◽

Binary Solutions ◽

Artificial Neural Network Modeling for Estimation of Composition of a Ternary Liquid Mixture with its Physical Properties such as Refractive Index, pH and Conductivity

International Journal of Computer Applications ◽

10.5120/5570-7663 ◽

2012 ◽

Vol 41 (9) ◽

pp. 23-26

Author(s):

S. L.Pandharipande ◽

Anish M. Shah ◽

Heena Tabassum

Keyword(s):

Neural Network ◽

Refractive Index ◽

Physical Properties ◽

Liquid Mixture ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Development of nano fiber MnO2 thin film electrode and cyclic voltammetry behavior modeling using artificial neural network for supercapacitor application

Materials Science in Semiconductor Processing ◽

10.1016/j.mssp.2015.02.084 ◽

2015 ◽

Vol 36 ◽

pp. 43-48 ◽

Cited By ~ 22

Author(s):

T.D. Dongale ◽

P.R. Jadhav ◽

G.J. Navathe ◽

J.H. Kim ◽

M.M. Karanjkar ◽

...

Keyword(s):

Neural Network ◽

Thin Film ◽

Cyclic Voltammetry ◽

Behavior Modeling ◽

Film Electrode ◽

Thin Film Electrode ◽

Supercapacitor Application ◽

Nano Fiber ◽

Combining the Taguchi Method with an Artificial Neural Network to Construct a Multi-Target Prediction Model for Aluminum Zinc Oxide Semiconducting Transparent Thin Film

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2012.2610 ◽

2012 ◽

Vol 9 (12) ◽

pp. 2027-2036

Author(s):

Ching-Been Yang ◽

Hsin-Yun Hsu ◽

Chun-Sheng Chen

Keyword(s):

Neural Network ◽

Thin Film ◽

Zinc Oxide ◽

Taguchi Method ◽

Prediction Model ◽

Target Prediction ◽

Artificial Neural ◽

Aluminum Zinc Oxide

Experimental investigation and modeling of electrical properties for phenol red thin film deposited on silicon using back propagation artificial neural network

Chinese Journal of Physics ◽

10.1016/j.cjph.2020.07.018 ◽

2020 ◽

Vol 67 ◽

pp. 602-614

Author(s):

H.A.M. Ali ◽

E.F.M. El-Zaidia ◽

R.A. Mohamed

Keyword(s):

Neural Network ◽

Thin Film ◽

Experimental Investigation ◽

Electrical Properties ◽

Back Propagation ◽

Phenol Red ◽

An Artificial Neural Network at Device Level Using Simplified Architecture and Thin-Film Transistors

IEEE Transactions on Electron Devices ◽

10.1109/ted.2010.2056991 ◽

2010 ◽

Vol 57 (10) ◽

pp. 2744-2750 ◽

Cited By ~ 22

Author(s):

Tomohiro Kasakawa ◽

Hiroki Tabata ◽

Ryo Onodera ◽

Hiroki Kojima ◽

Mutsumi Kimura ◽

...

Keyword(s):

Neural Network ◽

Thin Film ◽

Thin Film Transistors ◽

Application of Artificial Neural Network to Live Predict Brain Lesions like Multiple Sclerosis, Glioma, Glioblastoma and Metastases and Superiority of Refractive Index Over other Parameters

Journal of Biomedical Engineering and Medical Imaging ◽

10.14738/jbemi.54.4919 ◽

2018 ◽

Author(s):

Tapan Krishna Biswas ◽

Anindya Ganguly ◽

Rajib Bandopadhyay ◽

Ajoy Kr. Dutta

Keyword(s):

Neural Network ◽

Multiple Sclerosis ◽

Refractive Index ◽

Brain Lesions ◽